Evidence map›Paper›PMID 33744045›Full record

ArticleVaccine2021

Insurance status predicts self-reported influenza vaccine coverage among pregnant women in the United States: A cross-sectional analysis of the National Health Interview Study Data from 2012 to 2018.

Mary Catherine Cambou, Timothy P Copeland, Karin Nielsen-Saines, James Macinko

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Maternal Vaccination and Vaccine Hesitancy.Pediatric clinics of North America · 2023
    Review
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Mary Catherine CambouUCLA David Geffen School of Medicine, Division of Infectious Diseases, 10833 Le Conte Ave, CHS 37-121, Los Angeles, CA 90095, United States; UCLA Fielding School of Public Health, Department of Health Policy and Management, 650 Charles E Young Drive, CHS 31-235B, United States. Electronic address: mcambou@mednet.ucla.edu.
Timothy P CopelandUCLA Fielding School of Public Health, Department of Health Policy and Management, 650 Charles E Young Drive, CHS 31-235B, United States.
Karin Nielsen-SainesUCLA David Geffen School of Medicine, Division of Pediatric Infectious Diseases, 10833 Le Conte Ave, 12-441 MDCC, Los Angeles, CA 90095, United States.
James MacinkoUCLA Fielding School of Public Health, Department of Health Policy and Management, 650 Charles E Young Drive, CHS 31-235B, United States.
University of California, Los Angeles · US

Funding

Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRAM BELTRAN-SANCHEZ · 2016 to 2026
$6.9M
Postdoctoral Training in Global AIDS Prevention ResearchT32MH080634 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JESSE LAWTON CLARK, Pamina Mae Gorbach · 2007 to 2026
$6.4M
NICHD NIH HHS P2C HD041022NIMH NIH HHS T32 MH080634
6 · The paper itself

Abstract

While the influenza vaccine is recommended for all pregnant women, influenza vaccine coverage among this high-risk population remains inadequate. Factors associated with vaccine coverage among pregnant women, including insurance status, are poorly understood. In a cross-sectional study of the National Health Interview Survey (NHIS) data from 2012 to 2018, we evaluated predictors of self-reported influenza vaccine coverage in pregnant women. Among 1,942 pregnant women surveyed, 39% reported receiving the influenza vaccine in accordance with national recommendations. Influenza vaccine coverage increased by 8 percentage points from 2012 to 2018. Only 15% of uninsured pregnant women received the influenza vaccine, compared to 41% of those with insurance (design-corrected F-test, p-value < 0.001). In the multivariate Poisson regression analysis, significant predictors of influenza vaccine coverage were health insurance (prevalence ratio [PR] 1.90, 95% confidence interval [CI] 1.23-2.93), ratio of household income to federal poverty level (FPL) threshold greater than 400% (PR 1.54, 95% CI 1.20-1.96), graduate school education (PR 1.52, 95% CI 1.04-2.23), and the 2015-2018 survey year period (PR 1.27, 95% CI 1.08-1.49). While previous literature focuses heavily on demographics, our research underscores the need to further explore modifiable factors that impact vaccine uptake during pregnancy, particularly the interplay between health insurance and access to care.

Indexed as

Influenza, HumanInfluenza VaccinesPregnancy Complications, InfectiousCross-Sectional StudiesFemaleHumansInsurance CoveragePopulation SurveillancePregnancyPregnant PeopleSelf ReportUnited StatesVaccinationInfluenza VaccinesDeterminantsInfluenza vaccineInfluenza vaccine coverageMaternal vaccinationPregnant women

Identifiers

PMID33744045
PMCPMC8117778
OpenAlexW3136637265

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.